Applied Physics Specialist

Applied Physics Specialist (AI Training)
About the Role
What if your expertise in quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models - probing their reasoning, exposing their blind spots, and helping ensure they never violate the fundamental laws of the universe.
This is a fully remote, flexible contract role built for researchers and specialists who want to contribute to something genuinely important in AI - without leaving their field behind.

• Organization
  : Alignerr
• Type
  : Hourly Contract
• Location
  : Remote
• Commitment
  : 10-40 hours/week
What You'll Do
• Design PhD-Level Problems
  - Craft advanced, open-ended physics problems that demand multi-step logical reasoning, rigorous mathematical derivation, and mastery of physical principles across domains like quantum mechanics, electromagnetism, and thermodynamics
• Author Gold-Standard Solutions
  - Produce precise, step-by-step "golden responses" with flawless units, physical constants, and logical flow - the benchmark against which AI outputs are measured
• Audit AI Reasoning
  - Evaluate AI-generated proofs, derivations, and simulations for physical consistency; identify where models "hallucinate" physics that violates first principles
• Refine Model Behaviour
  - Provide structured, expert feedback that helps AI systems develop genuine physics-informed reasoning - respecting boundary conditions, conservation laws, and physical constraints
Who You Are
• Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Deep mastery of core physics pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional ability to communicate complex physical phenomena and mathematical derivations in clear, structured prose
• Uncompromising attention to detail - units, scientific notation, and proof structure are never an afterthought
• Self-directed and comfortable working independently on analytical tasks
• No prior AI or machine learning experience required
Nice to Have
• Experience with data annotation, scientific dataset evaluation, or quality assurance in research contexts
• Proficiency with computational tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similar
• Background in research publishing, academic benchmarking, or peer review
Why Join Us
• Work on genuinely high-impact AI projects in collaboration with world-leading research labs
• Fully remote and flexible - structure your hours around your existing commitments
• Freelance autonomy: choose your pace, work asynchronously, and maintain full independence
• Get rare, hands-on exposure to how frontier LLMs are trained and evaluated
• Contribute to a mission that matters - ensuring AI respects the laws that govern the physical universe
• Potential for ongoing work and contract extension as new projects launch